diff --git a/configs/hparams_search/focusConvReLU_MSE_150.yaml b/configs/hparams_search/focusConvReLU_MSE_150.yaml new file mode 100644 index 0000000000000000000000000000000000000000..929244308f5305186306deceb0865467adc2a50d --- /dev/null +++ b/configs/hparams_search/focusConvReLU_MSE_150.yaml @@ -0,0 +1,73 @@ +# @package _global_ + +# example hyperparameter optimization of some experiment with Optuna: +# python train.py -m hparams_search=mnist_optuna experiment=example + +defaults: + - override /datamodule: focus150.yaml + - override /model: focusConvReLU_150.yaml + - override /hydra/sweeper: optuna + +# choose metric which will be optimized by Optuna +# make sure this is the correct name of some metric logged in lightning module! +optimized_metric: "val/mae_best" + +name: "focusConvReLU_MSE_150_hyperparameter_search" + +# here we define Optuna hyperparameter search +# it optimizes for value returned from function with @hydra.main decorator +# docs: https://hydra.cc/docs/next/plugins/optuna_sweeper +hydra: + sweeper: + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + + # storage URL to persist optimization results + # for example, you can use SQLite if you set 'sqlite:///example.db' + storage: null + + # name of the study to persist optimization results + study_name: focusConvReLU_MSE_150_hyperparameter_search + + # number of parallel workers + n_jobs: 1 + + # 'minimize' or 'maximize' the objective + direction: minimize + + # total number of runs that will be executed + n_trials: 20 + + # choose Optuna hyperparameter sampler + # docs: https://optuna.readthedocs.io/en/stable/reference/samplers.html + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + n_startup_trials: 10 # number of random sampling runs before optimization starts + + # define range of hyperparameters + search_space: + datamodule.batch_size: + type: categorical + choices: [64] + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: [3, 5, 7] + model.conv1_channels: + type: categorical + choices: [3, 6, 9] + model.conv2_size: + type: categorical + choices: [3, 5, 7] + model.conv2_channels: + type: categorical + choices: [3, 6, 9] + model.lin1_size: + type: categorical + choices: [16, 32, 72, 128] + model.lin2_size: + type: categorical + choices: [16, 32, 72, 128] diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..555e730fcce8b1e9c79e247894ef504e29ba6618 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 3 + conv1_channels: 9 + conv2_size: 5 + conv2_channels: 6 + lin1_size: 128 + lin2_size: 32 + output_size: 1 + lr: 0.009303199318889763 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5e426e1ae65d59ecef7dab2e0618cc8bea0532e5 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.009303199318889763 + - model.conv1_size=3 + - model.conv1_channels=9 + - model.conv2_size=5 + - model.conv2_channels=6 + - model.lin1_size=128 + - model.lin2_size=32 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=9,model.conv1_size=3,model.conv2_channels=6,model.conv2_size=5,model.lin1_size=128,model.lin2_size=32,model.lr=0.009303199318889763 + id: '0' + num: 0 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f99844d89644491fad14bd974488036eee3eef8f --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.009303199318889763 +- model.conv1_size=3 +- model.conv1_channels=9 +- model.conv2_size=5 +- model.conv2_channels=6 +- model.lin1_size=128 +- model.lin2_size=32 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/checkpoints/epoch_058.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/checkpoints/epoch_058.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..5ef6ecf6043423497ea06a4a0dd8137a6d9b99c3 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/checkpoints/epoch_058.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bc054c2c7bacae09ee0f244f68be43290e82dbb6f095f4339c54ff40b51804c5 +size 10162063 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..7c6b03ba5adee3119160abcf037544970471a7bc --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:435acb158e8550d70a9c3403f45e2032b373603e2ccfff999814be356d8990f6 +size 10162063 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a59d09069738b40187aa69e5a12bd3c70c2e6019 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 3 + conv1_channels: 9 + conv2_size: 5 + conv2_channels: 6 + lin1_size: 128 + lin2_size: 32 + output_size: 1 + lr: 0.009303199318889763 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 845303 +model/params/trainable: 845303 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..968bfe8de696cde05ead75b3b496f75ff1b0d45b --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a59d09069738b40187aa69e5a12bd3c70c2e6019 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/0/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 3 + conv1_channels: 9 + conv2_size: 5 + conv2_channels: 6 + lin1_size: 128 + lin2_size: 32 + output_size: 1 + lr: 0.009303199318889763 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 845303 +model/params/trainable: 845303 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..32a6baf332b318866d218c8302306a6c19c545e4 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 3 + conv1_channels: 6 + conv2_size: 3 + conv2_channels: 6 + lin1_size: 72 + lin2_size: 16 + output_size: 1 + lr: 0.007202790846042897 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b53cb8fafa584e74e05bc31136f8ecbe420ea731 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.007202790846042897 + - model.conv1_size=3 + - model.conv1_channels=6 + - model.conv2_size=3 + - model.conv2_channels=6 + - model.lin1_size=72 + - model.lin2_size=16 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=6,model.conv1_size=3,model.conv2_channels=6,model.conv2_size=3,model.lin1_size=72,model.lin2_size=16,model.lr=0.007202790846042897 + id: '1' + num: 1 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..371749f66d9b702b94c53ffbe11c66d29922c5d6 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.007202790846042897 +- model.conv1_size=3 +- model.conv1_channels=6 +- model.conv2_size=3 +- model.conv2_channels=6 +- model.lin1_size=72 +- model.lin2_size=16 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/checkpoints/epoch_035.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/checkpoints/epoch_035.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..422f2cbad7a60d8f716c41f8929c2d30fc4f5503 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/checkpoints/epoch_035.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b08490e118c8dc9e5299cececad360accc9684c2c9bcf060dc01e214006c8beb +size 6044175 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..b2835c03ef56d949a15498204dc40ad757d2755f --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:967163f836649bfc2a76e42b6e1ea17ffcfcd1e55c55c416fda82661abb7c6f8 +size 6044175 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..49cab6902011a476a534b0c815f4ece62e130508 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 3 + conv1_channels: 6 + conv2_size: 3 + conv2_channels: 6 + lin1_size: 72 + lin2_size: 16 + output_size: 1 + lr: 0.007202790846042897 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 502143 +model/params/trainable: 502143 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..2809c85ffb9c7aa3bcb5d909edbf6f1162b3a87a --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae +0.000978742609731853,0.025326261296868324,0.025326261296868324,0,47,,,, 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..49cab6902011a476a534b0c815f4ece62e130508 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/1/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 3 + conv1_channels: 6 + conv2_size: 3 + conv2_channels: 6 + lin1_size: 72 + lin2_size: 16 + output_size: 1 + lr: 0.007202790846042897 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 502143 +model/params/trainable: 502143 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6428ea3ac5bb77e67e92203fd652795442492500 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.00036397175769800963 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3e2a873755c79838a8565b23f69fc3333cef680d --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.00036397175769800963 + - model.conv1_size=5 + - model.conv1_channels=6 + - model.conv2_size=7 + - model.conv2_channels=9 + - model.lin1_size=32 + - model.lin2_size=72 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=6,model.conv1_size=5,model.conv2_channels=9,model.conv2_size=7,model.lin1_size=32,model.lin2_size=72,model.lr=0.00036397175769800963 + id: '10' + num: 10 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a53a0408e1d974a0dcab0738bfb80544f125194f --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.00036397175769800963 +- model.conv1_size=5 +- model.conv1_channels=6 +- model.conv2_size=7 +- model.conv2_channels=9 +- model.lin1_size=32 +- model.lin2_size=72 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/checkpoints/epoch_095.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/checkpoints/epoch_095.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..6ce06420d872727e6c6dc771b060f438931dcd8b --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/checkpoints/epoch_095.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:34764d6501549358cb5e73dbe6eb3c54ed1a99bb6305f76527b07c7c14cfd440 +size 4072399 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..27477ad238f27dce261c52ef3df341998ab5a961 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:44f576e5cb41eb0d512f54d09cbf22461d431234fb4ca96f09c9b78cace72651 +size 4072399 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..27e079a18f6237f0f749216160535222c2736054 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.00036397175769800963 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 337848 +model/params/trainable: 337848 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..5836f25bb8084324ded605e8fe71b28fc05b1bea --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..27e079a18f6237f0f749216160535222c2736054 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/10/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.00036397175769800963 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 337848 +model/params/trainable: 337848 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a24fa86d235417aaf58aebce40cd242e91c2b943 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.00017488815901394057 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..067b232645a2b8fc031d095fe5e34cde5d458b8a --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.00017488815901394057 + - model.conv1_size=5 + - model.conv1_channels=6 + - model.conv2_size=7 + - model.conv2_channels=9 + - model.lin1_size=32 + - model.lin2_size=72 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=6,model.conv1_size=5,model.conv2_channels=9,model.conv2_size=7,model.lin1_size=32,model.lin2_size=72,model.lr=0.00017488815901394057 + id: '11' + num: 11 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0e184f56bcc3585b881d76ee033b176dc3cf6edc --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.00017488815901394057 +- model.conv1_size=5 +- model.conv1_channels=6 +- model.conv2_size=7 +- model.conv2_channels=9 +- model.lin1_size=32 +- model.lin2_size=72 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/checkpoints/epoch_096.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/checkpoints/epoch_096.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..46dee79e9a9b5d781d10e1fbcd2aac047d107001 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/checkpoints/epoch_096.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cbb13c8a4f57e7365d39add7c45fa54c7007c0eefc2446bd8636d6973eedbe0f +size 4072399 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..3ee9c3825d8e771752899112a94b4d64baa0020b --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c4dba1aa615ae7abb72eeffc6e0012b7c0b457c4953f05816666edcedf2daf13 +size 4072399 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..dce70681cd1686f4c878fe13b1eb2375f63783fe --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.00017488815901394057 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 337848 +model/params/trainable: 337848 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..391680d1d900b4b48ce3bf56e68b7ea7fd909b51 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..dce70681cd1686f4c878fe13b1eb2375f63783fe --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/11/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.00017488815901394057 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 337848 +model/params/trainable: 337848 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f384186b2ae81839b47795d07d9fcdc26eebd75d --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.00018632655175274539 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..63bf7703eedf9c3e7fde69a82a52dc2d4433e7f4 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.00018632655175274539 + - model.conv1_size=5 + - model.conv1_channels=6 + - model.conv2_size=7 + - model.conv2_channels=9 + - model.lin1_size=32 + - model.lin2_size=72 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=6,model.conv1_size=5,model.conv2_channels=9,model.conv2_size=7,model.lin1_size=32,model.lin2_size=72,model.lr=0.00018632655175274539 + id: '12' + num: 12 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..05bad96db35abd87f305527255bd07e0ac5f1131 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.00018632655175274539 +- model.conv1_size=5 +- model.conv1_channels=6 +- model.conv2_size=7 +- model.conv2_channels=9 +- model.lin1_size=32 +- model.lin2_size=72 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/checkpoints/epoch_097.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/checkpoints/epoch_097.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..50ebc3ff462893795156af04e3086f352dc5da6f --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/checkpoints/epoch_097.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c999cdd2a79137d14f32089a535739103f3a07700d77d9697dbc508f553f4fc2 +size 4072399 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..996901289e0d9e3264195df48cd3bb1e39f32281 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e43ac089ee89a8ea5a885579b1ca2da24e12d52adb1fcb6c35d37cba34ed03e7 +size 4072399 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5248efd92ee101abd9e07c3a73aac8101af6587d --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.00018632655175274539 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 337848 +model/params/trainable: 337848 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..cc6fb0737e8de58fca05ba5f2cb40fdf7c11d766 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5248efd92ee101abd9e07c3a73aac8101af6587d --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/12/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.00018632655175274539 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 337848 +model/params/trainable: 337848 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..10477de6991c39c697810c11f81f806f5f67d78d --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.0018307536251522384 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e4479206a40c21493b2558cc935043b21c70c2ea --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.0018307536251522384 + - model.conv1_size=5 + - model.conv1_channels=6 + - model.conv2_size=7 + - model.conv2_channels=9 + - model.lin1_size=32 + - model.lin2_size=72 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=6,model.conv1_size=5,model.conv2_channels=9,model.conv2_size=7,model.lin1_size=32,model.lin2_size=72,model.lr=0.0018307536251522384 + id: '13' + num: 13 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f041c440d6a58d4d67d1d3684a5abc0fbc17de7d --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.0018307536251522384 +- model.conv1_size=5 +- model.conv1_channels=6 +- model.conv2_size=7 +- model.conv2_channels=9 +- model.lin1_size=32 +- model.lin2_size=72 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/checkpoints/epoch_088.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/checkpoints/epoch_088.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..aecbab682afd791dfc4b0e1171bea311863e106f --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/checkpoints/epoch_088.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3b1d8cd22bb6978be865fa4c08ae9ec36485869db860ddcfb95b08b0a05f36e6 +size 4072399 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..98c7fdab669fbb38d26ff85092bba48cb94d577b --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9ac5c51db14d07e03dfbd09000c0c6fc5f005ca4be88c8295a3de10ca5c12138 +size 4072399 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9e404b73c45af0e6e9cb27c55f3797825bfab959 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.0018307536251522384 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 337848 +model/params/trainable: 337848 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..96fd318d57eea5aa5d882082c9bbedfd35f98c2d --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9e404b73c45af0e6e9cb27c55f3797825bfab959 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/13/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.0018307536251522384 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 337848 +model/params/trainable: 337848 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7a2b7529e4ad0e24e22c9098d2fffbea52ac181f --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 16 + lin2_size: 128 + output_size: 1 + lr: 0.0022618646018782306 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e3b3ba69a719c5a28bba7b875cd67be9323873d5 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.0022618646018782306 + - model.conv1_size=5 + - model.conv1_channels=6 + - model.conv2_size=7 + - model.conv2_channels=9 + - model.lin1_size=16 + - model.lin2_size=128 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=6,model.conv1_size=5,model.conv2_channels=9,model.conv2_size=7,model.lin1_size=16,model.lin2_size=128,model.lr=0.0022618646018782306 + id: '14' + num: 14 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..134015e811c00e188890a9bc994e2ebc029310f8 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.0022618646018782306 +- model.conv1_size=5 +- model.conv1_channels=6 +- model.conv2_size=7 +- model.conv2_channels=9 +- model.lin1_size=16 +- model.lin2_size=128 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/checkpoints/epoch_032.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/checkpoints/epoch_032.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..d11b7e779433dda0ca46c5c7965675bb9629a03a --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/checkpoints/epoch_032.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:983673f0d7d23e928530a4cf588f655095499d23ec4e80059ed26d675dae78fd +size 2073103 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..dc4ff0a05ff24479f1a4249a0462826b62127f73 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3790b3025f75cbf19d81089976f8f841c4fa18f6f5868d3ba1b2fc01cfbe76eb +size 2073103 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0f3e8bf415e7f546b913aff268d939bba51760de --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 16 + lin2_size: 128 + output_size: 1 + lr: 0.0022618646018782306 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 171224 +model/params/trainable: 171224 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..9bb8a35d5413d343015ffdfe9e82975303f10214 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0f3e8bf415e7f546b913aff268d939bba51760de --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/14/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 16 + lin2_size: 128 + output_size: 1 + lr: 0.0022618646018782306 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 171224 +model/params/trainable: 171224 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5ac384386fe3258dd2072c6d058fd66c62d1710f --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 5 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.0019749455222917637 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..557df78ea8c4bcad2c591e66b44976973b289420 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.0019749455222917637 + - model.conv1_size=5 + - model.conv1_channels=6 + - model.conv2_size=5 + - model.conv2_channels=9 + - model.lin1_size=32 + - model.lin2_size=72 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=6,model.conv1_size=5,model.conv2_channels=9,model.conv2_size=5,model.lin1_size=32,model.lin2_size=72,model.lr=0.0019749455222917637 + id: '15' + num: 15 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4fede28ca6e44d6ad1685212c6ae4de392fa50a7 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.0019749455222917637 +- model.conv1_size=5 +- model.conv1_channels=6 +- model.conv2_size=5 +- model.conv2_channels=9 +- model.lin1_size=32 +- model.lin2_size=72 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/checkpoints/epoch_093.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/checkpoints/epoch_093.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..0bcf33e54e84a7b9a834f850b5023069f35f7ced --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/checkpoints/epoch_093.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:de58d34b8d72551909f4ce8370567eaf1ec04d702caa478db6015b4e23ae53d3 +size 4072399 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..be03b3b5af2f9d77ab1f806648138ce7cbeec83e --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f29cf4233dc58899e9eb9ebf3d343e837ceb03931475d47a770571cfe680fcb9 +size 4072399 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6cd515bf2657ba5eb8eeef2130062205153e2a6c --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 5 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.0019749455222917637 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 337848 +model/params/trainable: 337848 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..b94d747fe565b273375165d8750da3fc0c819d1d --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6cd515bf2657ba5eb8eeef2130062205153e2a6c --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/15/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 5 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.0019749455222917637 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 337848 +model/params/trainable: 337848 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..fedc1bf807bef17ac6142bc799e165e12701c6aa --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 3 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.0013096742249794151 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e019958da941c4a52fea888d2a43722c42968066 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.0013096742249794151 + - model.conv1_size=5 + - model.conv1_channels=3 + - model.conv2_size=7 + - model.conv2_channels=9 + - model.lin1_size=32 + - model.lin2_size=72 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=3,model.conv1_size=5,model.conv2_channels=9,model.conv2_size=7,model.lin1_size=32,model.lin2_size=72,model.lr=0.0013096742249794151 + id: '16' + num: 16 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..728f9f1a7e9b65d4c7e1df7b46b95edc6acb56cf --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.0013096742249794151 +- model.conv1_size=5 +- model.conv1_channels=3 +- model.conv2_size=7 +- model.conv2_channels=9 +- model.lin1_size=32 +- model.lin2_size=72 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/checkpoints/epoch_071.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/checkpoints/epoch_071.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..a1ce4bef27bdf51e5feaf7d1892cdff390992b99 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/checkpoints/epoch_071.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a4acbbf97b744eb8529bc14ab723ed31df4ff54bc8aa2b4f009871c94fec1af9 +size 4287823 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..161f7ae676288b33dab169a4474d5344e9743896 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3c68036e39ab02e5a09b1f01286eb9244a2d08d30cbffa626fef2be429ffe2dd +size 4287823 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..91c1068107f72539b9840ef313cfff9399c3a964 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 3 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.0013096742249794151 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 355785 +model/params/trainable: 355785 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..45d47e1d3f342c06fe8a0685539240349d149af3 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..91c1068107f72539b9840ef313cfff9399c3a964 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/16/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 3 + conv2_size: 7 + conv2_channels: 9 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.0013096742249794151 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 355785 +model/params/trainable: 355785 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..43c57d7343002d34407999fa213d6d246ed82afa --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 5 + conv2_channels: 6 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.0032075727157198407 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f5a0c6aca34a48cf07d8055b50208c22d5cb7201 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.0032075727157198407 + - model.conv1_size=5 + - model.conv1_channels=6 + - model.conv2_size=5 + - model.conv2_channels=6 + - model.lin1_size=32 + - model.lin2_size=72 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=6,model.conv1_size=5,model.conv2_channels=6,model.conv2_size=5,model.lin1_size=32,model.lin2_size=72,model.lr=0.0032075727157198407 + id: '17' + num: 17 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a119e5164a14c69b4fc377091d61e4883bf9caee --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.0032075727157198407 +- model.conv1_size=5 +- model.conv1_channels=6 +- model.conv2_size=5 +- model.conv2_channels=6 +- model.lin1_size=32 +- model.lin2_size=72 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/checkpoints/epoch_083.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/checkpoints/epoch_083.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..2f6c14ab12e417a6f881083ab8a96f619223bcea --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/checkpoints/epoch_083.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:652c24806356d664133ebc056e01d80e81a553d162310dbbd9431b1cfe215115 +size 2732943 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..b99b6b9cc85193edd72ed8964e9425800a76930c --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aea1ec9ebb851f824e5a34d9366ad8ceee9dcfd399b1a6177adea6a19be4d42c +size 2732943 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..96c46a517027a6b66a7897b5d57961476a478344 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 5 + conv2_channels: 6 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.0032075727157198407 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 226215 +model/params/trainable: 226215 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..a4dbd3e0d48ecd4fb8782fc8766aa81662b6ffe5 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..96c46a517027a6b66a7897b5d57961476a478344 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/17/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 5 + conv2_channels: 6 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.0032075727157198407 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 226215 +model/params/trainable: 226215 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d04ed0274605001ad3da554281be302b41aeb70d --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 6 + lin1_size: 16 + lin2_size: 32 + output_size: 1 + lr: 0.002862512501104323 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..29dcbe9632b396cd7ce87ec6faf6211a8637a135 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.002862512501104323 + - model.conv1_size=5 + - model.conv1_channels=6 + - model.conv2_size=7 + - model.conv2_channels=6 + - model.lin1_size=16 + - model.lin2_size=32 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=6,model.conv1_size=5,model.conv2_channels=6,model.conv2_size=7,model.lin1_size=16,model.lin2_size=32,model.lr=0.002862512501104323 + id: '18' + num: 18 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..feca986b53f785a66efacf22a931432a0e30087d --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.002862512501104323 +- model.conv1_size=5 +- model.conv1_channels=6 +- model.conv2_size=7 +- model.conv2_channels=6 +- model.lin1_size=16 +- model.lin2_size=32 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/checkpoints/epoch_079.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/checkpoints/epoch_079.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..44da5320189674854d60f81534ecfc3f87c98f70 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/checkpoints/epoch_079.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b3f7595a199cc7b6a9657707a01ca70118146f6dd1b821545e17cdba6136d0fb +size 1378767 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..32121bd94f6d0c2fabc409d67362d0d1c40ca843 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:24d0bc2f42e04a126f18b921fcc340059ad35d40ea87fd096edaa723d0f57bf8 +size 1378767 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d513697627898bc3f188edde2d252cc86be0306c --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 6 + lin1_size: 16 + lin2_size: 32 + output_size: 1 + lr: 0.002862512501104323 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 113351 +model/params/trainable: 113351 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..5448c61489850fc7ff54bc11708e6a291c75f0d5 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d513697627898bc3f188edde2d252cc86be0306c --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/18/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 7 + conv2_channels: 6 + lin1_size: 16 + lin2_size: 32 + output_size: 1 + lr: 0.002862512501104323 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 113351 +model/params/trainable: 113351 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9db517fda3c812d5d38201c707a14a84a1463c66 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 3 + conv1_channels: 3 + conv2_size: 3 + conv2_channels: 6 + lin1_size: 16 + lin2_size: 32 + output_size: 1 + lr: 0.0027118304645530216 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8e17e99e4ab1c5974ae564d13b72af5a33707b00 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.0027118304645530216 + - model.conv1_size=3 + - model.conv1_channels=3 + - model.conv2_size=3 + - model.conv2_channels=6 + - model.lin1_size=16 + - model.lin2_size=32 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=3,model.conv1_size=3,model.conv2_channels=6,model.conv2_size=3,model.lin1_size=16,model.lin2_size=32,model.lr=0.0027118304645530216 + id: '19' + num: 19 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a1da082e6239f345b863c692d0ab22b6a1c39a2d --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.0027118304645530216 +- model.conv1_size=3 +- model.conv1_channels=3 +- model.conv2_size=3 +- model.conv2_channels=6 +- model.lin1_size=16 +- model.lin2_size=32 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/checkpoints/epoch_086.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/checkpoints/epoch_086.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..81bbbdc9755491adeb8ef98bf027412bae845120 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/checkpoints/epoch_086.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:59a2c69b7e4aa7eade59e45c2bb7d5aff68d7292b4840b2b040d00ecbf6e9601 +size 1522063 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..f4bf8bb2b56697a66ec9935e11bd4ee47d45d6db --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7f21390dab9c7bcc44479fb2a7ca097fa93c475a2ec55285628f80e961f0dd05 +size 1522063 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a4f4ea3a7c4e9d486675fd952515be61551bed6b --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 3 + conv1_channels: 3 + conv2_size: 3 + conv2_channels: 6 + lin1_size: 16 + lin2_size: 32 + output_size: 1 + lr: 0.0027118304645530216 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 125279 +model/params/trainable: 125279 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..957504391700f2f13f6f6992933661de35dd3dc3 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a4f4ea3a7c4e9d486675fd952515be61551bed6b --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/19/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 3 + conv1_channels: 3 + conv2_size: 3 + conv2_channels: 6 + lin1_size: 16 + lin2_size: 32 + output_size: 1 + lr: 0.0027118304645530216 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 125279 +model/params/trainable: 125279 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6fd410fc452d81d9f09a7a4fbae04070f28bb2bd --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 7 + conv1_channels: 9 + conv2_size: 5 + conv2_channels: 6 + lin1_size: 128 + lin2_size: 16 + output_size: 1 + lr: 0.008120875147152222 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f5bb958647b4f87ff8da541bd10984c3b805b20a --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.008120875147152222 + - model.conv1_size=7 + - model.conv1_channels=9 + - model.conv2_size=5 + - model.conv2_channels=6 + - model.lin1_size=128 + - model.lin2_size=16 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=9,model.conv1_size=7,model.conv2_channels=6,model.conv2_size=5,model.lin1_size=128,model.lin2_size=16,model.lr=0.008120875147152222 + id: '2' + num: 2 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..91a60687174ca080ccce27688ddd2db5c20b2349 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.008120875147152222 +- model.conv1_size=7 +- model.conv1_channels=9 +- model.conv2_size=5 +- model.conv2_channels=6 +- model.lin1_size=128 +- model.lin2_size=16 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/checkpoints/epoch_098.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/checkpoints/epoch_098.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..6d3abfe61182cb54d990ae2a6b200fcc3f24a0e7 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/checkpoints/epoch_098.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0937f20a5553f8d8307597da2cb2f3b0712be4511b5751e7c7c8bc3e1943a7b8 +size 9550927 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..1997f4a7885e99445dde335e2f86a675b94e13af --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:da291eb21782b43f3b463386da2b81d637cc1b0171d6d9533f53dfcc4d49ce6f +size 9550927 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a7fc1a751fd8323911ea8c25980d4fb0ee7b41c6 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 7 + conv1_channels: 9 + conv2_size: 5 + conv2_channels: 6 + lin1_size: 128 + lin2_size: 16 + output_size: 1 + lr: 0.008120875147152222 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 794383 +model/params/trainable: 794383 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..ae9e9268e617ab278c44126dde8ddcbc40175bc4 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae +0.003408739110454917,0.05465586483478546,0.05465586483478546,0,47,,,, +,,,1,47,0.8822982907295227,0.3293246626853943,, 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a7fc1a751fd8323911ea8c25980d4fb0ee7b41c6 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/2/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 7 + conv1_channels: 9 + conv2_size: 5 + conv2_channels: 6 + lin1_size: 128 + lin2_size: 16 + output_size: 1 + lr: 0.008120875147152222 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 794383 +model/params/trainable: 794383 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..10c70152ee6150fb2254cec7c6aa1b731134fa64 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 7 + conv1_channels: 6 + conv2_size: 3 + conv2_channels: 3 + lin1_size: 128 + lin2_size: 16 + output_size: 1 + lr: 0.0019593985467415576 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..58c981d37a3d16ba3d31bf980c5ded7e26227081 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.0019593985467415576 + - model.conv1_size=7 + - model.conv1_channels=6 + - model.conv2_size=3 + - model.conv2_channels=3 + - model.lin1_size=128 + - model.lin2_size=16 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=6,model.conv1_size=7,model.conv2_channels=3,model.conv2_size=3,model.lin1_size=128,model.lin2_size=16,model.lr=0.0019593985467415576 + id: '3' + num: 3 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..512a61c1a645ebf99fe58693d22c9f7214cc2c44 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.0019593985467415576 +- model.conv1_size=7 +- model.conv1_channels=6 +- model.conv2_size=3 +- model.conv2_channels=3 +- model.lin1_size=128 +- model.lin2_size=16 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/checkpoints/epoch_090.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/checkpoints/epoch_090.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..bac52f73430b54d969aa7825553e44715f8a0240 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/checkpoints/epoch_090.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a6af3179416594a961dadc6e354f6348a99d76b1e1d377a6dff6213ef9fc915c +size 5081935 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..3a0520791a5969692c099a349ded4368f1d060f3 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c14131e5c2b1fe59881992b31bdb4e53aed98b1d54cfce7fe6082677707d8f81 +size 5081935 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..bad69c0c5b9e3331d484b7d50c266e46070e710c --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 7 + conv1_channels: 6 + conv2_size: 3 + conv2_channels: 3 + lin1_size: 128 + lin2_size: 16 + output_size: 1 + lr: 0.0019593985467415576 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 421942 +model/params/trainable: 421942 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..b59aaba00095fcff66d2fd88c07f7a4a799924a1 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae +0.00495498813688755,0.056958310306072235,0.056958310306072235,0,47,,,, 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..bad69c0c5b9e3331d484b7d50c266e46070e710c --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/3/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 7 + conv1_channels: 6 + conv2_size: 3 + conv2_channels: 3 + lin1_size: 128 + lin2_size: 16 + output_size: 1 + lr: 0.0019593985467415576 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 421942 +model/params/trainable: 421942 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2ae98033e4680b7c819961d348303a9bb4f8ecb4 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 3 + conv1_channels: 9 + conv2_size: 7 + conv2_channels: 6 + lin1_size: 32 + lin2_size: 32 + output_size: 1 + lr: 0.0037376437615663153 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d44d5bbcc5673c67b7ceef2825df888cd460dec6 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.0037376437615663153 + - model.conv1_size=3 + - model.conv1_channels=9 + - model.conv2_size=7 + - model.conv2_channels=6 + - model.lin1_size=32 + - model.lin2_size=32 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=9,model.conv1_size=3,model.conv2_channels=6,model.conv2_size=7,model.lin1_size=32,model.lin2_size=32,model.lr=0.0037376437615663153 + id: '4' + num: 4 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..52506d217934c6a9c3e27e4e32f52aeb69d750ec --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.0037376437615663153 +- model.conv1_size=3 +- model.conv1_channels=9 +- model.conv2_size=7 +- model.conv2_channels=6 +- model.lin1_size=32 +- model.lin2_size=32 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git 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--- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:105a4c1d48c512a6a34538fac8e78ff8a55c07f3921f23106fbf0ea965b827ec +size 2596879 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d863a9a14dce2145d0f749465864c34ca3160cfa --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 3 + conv1_channels: 9 + conv2_size: 7 + conv2_channels: 6 + lin1_size: 32 + lin2_size: 32 + output_size: 1 + lr: 0.0037376437615663153 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 214871 +model/params/trainable: 214871 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..8b3131767d500b3cf478fdc49335c4c1d220fab7 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae +0.0014691948890686035,0.0316956602036953,0.0316956602036953,0,47,,,, +,,,1,47,0.7643341422080994,0.31128162145614624,, 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d863a9a14dce2145d0f749465864c34ca3160cfa --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/4/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 3 + conv1_channels: 9 + conv2_size: 7 + conv2_channels: 6 + lin1_size: 32 + lin2_size: 32 + output_size: 1 + lr: 0.0037376437615663153 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 214871 +model/params/trainable: 214871 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4482a6ba246a6c6b8b3ff4437b1e7f19a8cf3bd8 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 3 + conv2_channels: 3 + lin1_size: 72 + lin2_size: 128 + output_size: 1 + lr: 0.005206682540386224 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..000e78c091858601ced6e02649b629bdd38afbf6 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.005206682540386224 + - model.conv1_size=5 + - model.conv1_channels=6 + - model.conv2_size=3 + - model.conv2_channels=3 + - model.lin1_size=72 + - model.lin2_size=128 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=6,model.conv1_size=5,model.conv2_channels=3,model.conv2_size=3,model.lin1_size=72,model.lin2_size=128,model.lr=0.005206682540386224 + id: '5' + num: 5 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c2c97516a3bb22ff9856f1fbc7fd396ffa7b9d26 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.005206682540386224 +- model.conv1_size=5 +- model.conv1_channels=6 +- model.conv2_size=3 +- model.conv2_channels=3 +- model.lin1_size=72 +- model.lin2_size=128 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/checkpoints/epoch_090.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/checkpoints/epoch_090.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..02d2c018105640c7066bbbae2e24046eecb8b449 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/checkpoints/epoch_090.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5fe3a23ada121238fe85d5fa643d14da3262d22892e034e9ec4e4da003af1252 +size 3142927 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..7b7f4255263a48b996d2bce5fcd3b0bc5ec43714 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a9cfbe5dee7fc763b6549c8f392a86561105d8680153b1680d22187499fd5fc6 +size 3142927 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..78c51d4d488379657b7878abb5fec13d618e0537 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 3 + conv2_channels: 3 + lin1_size: 72 + lin2_size: 128 + output_size: 1 + lr: 0.005206682540386224 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 260366 +model/params/trainable: 260366 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..b6fac7ae5a1c8ff7735664b1fa3679a3c272e34d --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae +0.001770764123648405,0.033710580319166183,0.033710580319166183,0,47,,,, 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..78c51d4d488379657b7878abb5fec13d618e0537 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/5/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 3 + conv2_channels: 3 + lin1_size: 72 + lin2_size: 128 + output_size: 1 + lr: 0.005206682540386224 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 260366 +model/params/trainable: 260366 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..674be73dbd5b0461e28804b70ba0b58734b5a5d2 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 7 + conv1_channels: 9 + conv2_size: 5 + conv2_channels: 6 + lin1_size: 72 + lin2_size: 72 + output_size: 1 + lr: 0.00421209721173793 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..cc56d671900404a27aa89242678b590090ed33e7 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.00421209721173793 + - model.conv1_size=7 + - model.conv1_channels=9 + - model.conv2_size=5 + - model.conv2_channels=6 + - model.lin1_size=72 + - model.lin2_size=72 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=9,model.conv1_size=7,model.conv2_channels=6,model.conv2_size=5,model.lin1_size=72,model.lin2_size=72,model.lr=0.00421209721173793 + id: '6' + num: 6 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..07918e9a195b55ccd4443ce6acb86c647fe666f0 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.00421209721173793 +- model.conv1_size=7 +- model.conv1_channels=9 +- model.conv2_size=5 +- model.conv2_channels=6 +- model.lin1_size=72 +- model.lin2_size=72 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/checkpoints/epoch_035.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/checkpoints/epoch_035.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..43f23734058d925849d4b37fc666d421590c5535 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/checkpoints/epoch_035.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:74e456fef24a6f5cae8352d69fad4c7068bc5d15b77bc39bbb791fc458f604d4 +size 5460175 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..69dd7bfc3c2f6dfd39da95c2ea7d5911531a55e1 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8c8b516bb27f403d912fef789c159106f526c3911093d2144988326dab8097a4 +size 5460175 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b948c44f73f5f15ae457cbb4311b55549b4a72e6 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 7 + conv1_channels: 9 + conv2_size: 5 + conv2_channels: 6 + lin1_size: 72 + lin2_size: 72 + output_size: 1 + lr: 0.00421209721173793 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 453511 +model/params/trainable: 453511 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..3112376b2e469744c3ddf3ea5b0b48b238679e3b --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae +0.0009564716601744294,0.02504744566977024,0.02504744566977024,0,47,,,, +,,,1,47,1.555298089981079,0.3499101400375366,, 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b948c44f73f5f15ae457cbb4311b55549b4a72e6 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/6/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 7 + conv1_channels: 9 + conv2_size: 5 + conv2_channels: 6 + lin1_size: 72 + lin2_size: 72 + output_size: 1 + lr: 0.00421209721173793 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 453511 +model/params/trainable: 453511 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..466cf59b3ddfe4197bb460164a9258a954940a1d --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 7 + conv1_channels: 3 + conv2_size: 5 + conv2_channels: 3 + lin1_size: 16 + lin2_size: 72 + output_size: 1 + lr: 0.005893278251015149 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..10b3c2bd31833e0049092640fda56a45034be911 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.005893278251015149 + - model.conv1_size=7 + - model.conv1_channels=3 + - model.conv2_size=5 + - model.conv2_channels=3 + - model.lin1_size=16 + - model.lin2_size=72 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=3,model.conv1_size=7,model.conv2_channels=3,model.conv2_size=5,model.lin1_size=16,model.lin2_size=72,model.lr=0.005893278251015149 + id: '7' + num: 7 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..991a68b33f6a6bd8fef5f3c31f9a5032f054f665 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.005893278251015149 +- model.conv1_size=7 +- model.conv1_channels=3 +- model.conv2_size=5 +- model.conv2_channels=3 +- model.lin1_size=16 +- model.lin2_size=72 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/checkpoints/epoch_087.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/checkpoints/epoch_087.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..cf3094525cd926c9be735978be7fbcbcfd740512 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/checkpoints/epoch_087.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:79f3709e98b717064be0172f2587b47d89a2362cd83b05803ce8d5c4b98968f9 +size 746319 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..9739be3bf3637e4502415a5057373d77b95b9d2c --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7e070c3fa20ab58a175b5268e4c625f29c422c588190af0296ac03da11c1ab0a +size 746319 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..aaad83ce2f5cfc79580f5f72534576f3a30ce535 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 7 + conv1_channels: 3 + conv2_size: 5 + conv2_channels: 3 + lin1_size: 16 + lin2_size: 72 + output_size: 1 + lr: 0.005893278251015149 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 60653 +model/params/trainable: 60653 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..8cc09cca29641076eb8071a5631fe13b0021bcc7 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae +0.005494565237313509,0.06713995337486267,0.06014745682477951,0,47,,,, +,,,1,47,0.1800871342420578,0.15476585924625397,, 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..aaad83ce2f5cfc79580f5f72534576f3a30ce535 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/7/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 7 + conv1_channels: 3 + conv2_size: 5 + conv2_channels: 3 + lin1_size: 16 + lin2_size: 72 + output_size: 1 + lr: 0.005893278251015149 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 60653 +model/params/trainable: 60653 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..701bd41173387f6e976da55b3621be914edd2560 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 3 + conv2_size: 5 + conv2_channels: 3 + lin1_size: 32 + lin2_size: 16 + output_size: 1 + lr: 0.00406694033600819 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..44936443b72845684468f16d12349d48a55ce09d --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.00406694033600819 + - model.conv1_size=5 + - model.conv1_channels=3 + - model.conv2_size=5 + - model.conv2_channels=3 + - model.lin1_size=32 + - model.lin2_size=16 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=3,model.conv1_size=5,model.conv2_channels=3,model.conv2_size=5,model.lin1_size=32,model.lin2_size=16,model.lr=0.00406694033600819 + id: '8' + num: 8 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..aec0e709d8c8879885a4588bd2332bf196f02666 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.00406694033600819 +- model.conv1_size=5 +- model.conv1_channels=3 +- model.conv2_size=5 +- model.conv2_channels=3 +- model.lin1_size=32 +- model.lin2_size=16 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/checkpoints/epoch_094.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/checkpoints/epoch_094.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..38b3a6ab6ab7c1cd005da2262ea66ae46e05589d --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/checkpoints/epoch_094.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1ce150ad0adcd1302ece3ac2a34e23d5f2dd832ba7c0d2e5138b1d244d27a0a6 +size 1440783 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..2f98b7ee00dcade9593ace137681330f44202881 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b332f01b9f75e0d9a9cf3e890fcb46304a6bbc0d9e5133654ba787c9e53cab78 +size 1440783 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5946831d208cf97719ed1a1174481c3201228279 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 3 + conv2_size: 5 + conv2_channels: 3 + lin1_size: 32 + lin2_size: 16 + output_size: 1 + lr: 0.00406694033600819 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 118501 +model/params/trainable: 118501 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..5e07ebcd9a24528ab3e4d7d7ce52e86ce814316e --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae +0.000732213316950947,0.02211754396557808,0.02211754396557808,0,47,,,, +,,,1,47,0.11592327803373337,0.15358951687812805,, 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a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5946831d208cf97719ed1a1174481c3201228279 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/8/tensorboard/focusConvReLU_MSE_150_hyperparameter_search/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 3 + conv2_size: 5 + conv2_channels: 3 + lin1_size: 32 + lin2_size: 16 + output_size: 1 + lr: 0.00406694033600819 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 118501 +model/params/trainable: 118501 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/.hydra/config.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/.hydra/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3cd85aed6c0d0a883cb9d7434337b4e4bd3f8807 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/.hydra/config.yaml @@ -0,0 +1,81 @@ +original_work_dir: ${hydra:runtime.cwd} +data_dir: ${original_work_dir}/data +print_config: true +ignore_warnings: true +train: true +test: true +seed: null +name: focusConvReLU_MSE_150_hyperparameter_search +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: ${data_dir}/focus150 + csv_train_file: ${data_dir}/focus150/train_metadata.csv + csv_val_file: ${data_dir}/focus150/validation_metadata.csv + csv_test_file: ${data_dir}/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 5 + conv2_channels: 6 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.00020086333964059716 + weight_decay: 0.0005 +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +logger: + csv: + _target_: pytorch_lightning.loggers.csv_logs.CSVLogger + save_dir: . + name: csv/ + prefix: '' + mlflow: + _target_: pytorch_lightning.loggers.mlflow.MLFlowLogger + experiment_name: ${name} + tracking_uri: ${original_work_dir}/logs/mlflow/mlruns + tags: null + save_dir: ./mlruns + prefix: '' + artifact_location: null + tensorboard: + _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger + save_dir: tensorboard/ + name: null + version: ${name} + log_graph: false + default_hp_metric: true + prefix: '' +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +optimized_metric: val/mae_best diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/.hydra/hydra.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/.hydra/hydra.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2fcc608bf73b9bdca567b171bedf5c2d4e8bab34 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/.hydra/hydra.yaml @@ -0,0 +1,241 @@ +hydra: + run: + dir: logs/experiments/runs/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + sweep: + dir: logs/experiments/multiruns/${name}/${now:%Y-%m-%d}_${now:%H-%M-%S} + subdir: ${hydra.job.num} + launcher: + _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher + sweeper: + sampler: + _target_: optuna.samplers.TPESampler + seed: 12345 + consider_prior: true + prior_weight: 1.0 + consider_magic_clip: true + consider_endpoints: false + n_startup_trials: 10 + n_ei_candidates: 24 + multivariate: false + warn_independent_sampling: true + _target_: hydra_plugins.hydra_optuna_sweeper.optuna_sweeper.OptunaSweeper + direction: minimize + storage: null + study_name: focusConvReLU_MSE_150_hyperparameter_search + n_trials: 20 + n_jobs: 1 + search_space: + datamodule.batch_size: + type: categorical + choices: + - 64 + model.lr: + type: float + low: 0.0001 + high: 0.01 + model.conv1_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv1_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.conv2_size: + type: categorical + choices: + - 3 + - 5 + - 7 + model.conv2_channels: + type: categorical + choices: + - 3 + - 6 + - 9 + model.lin1_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + model.lin2_size: + type: categorical + choices: + - 16 + - 32 + - 72 + - 128 + help: + app_name: ${hydra.job.name} + header: '${hydra.help.app_name} is powered by Hydra. + + ' + footer: 'Powered by Hydra (https://hydra.cc) + + Use --hydra-help to view Hydra specific help + + ' + template: '${hydra.help.header} + + == Configuration groups == + + Compose your configuration from those groups (group=option) + + + $APP_CONFIG_GROUPS + + + == Config == + + Override anything in the config (foo.bar=value) + + + $CONFIG + + + ${hydra.help.footer} + + ' + hydra_help: + template: 'Hydra (${hydra.runtime.version}) + + See https://hydra.cc for more info. + + + == Flags == + + $FLAGS_HELP + + + == Configuration groups == + + Compose your configuration from those groups (For example, append hydra/job_logging=disabled + to command line) + + + $HYDRA_CONFIG_GROUPS + + + Use ''--cfg hydra'' to Show the Hydra config. + + ' + hydra_help: ??? + hydra_logging: + version: 1 + formatters: + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s' + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + root: + level: INFO + handlers: + - console + disable_existing_loggers: false + job_logging: + version: 1 + formatters: + simple: + format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' + colorlog: + (): colorlog.ColoredFormatter + format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s] + - %(message)s' + log_colors: + DEBUG: purple + INFO: green + WARNING: yellow + ERROR: red + CRITICAL: red + handlers: + console: + class: logging.StreamHandler + formatter: colorlog + stream: ext://sys.stdout + file: + class: logging.FileHandler + formatter: simple + filename: ${hydra.job.name}.log + root: + level: INFO + handlers: + - console + - file + disable_existing_loggers: false + env: {} + searchpath: [] + callbacks: {} + output_subdir: .hydra + overrides: + hydra: [] + task: + - datamodule.batch_size=64 + - model.lr=0.00020086333964059716 + - model.conv1_size=5 + - model.conv1_channels=6 + - model.conv2_size=5 + - model.conv2_channels=6 + - model.lin1_size=32 + - model.lin2_size=72 + - hparams_search=focusConvReLU_MSE_150.yaml + job: + name: train + override_dirname: datamodule.batch_size=64,hparams_search=focusConvReLU_MSE_150.yaml,model.conv1_channels=6,model.conv1_size=5,model.conv2_channels=6,model.conv2_size=5,model.lin1_size=32,model.lin2_size=72,model.lr=0.00020086333964059716 + id: '9' + num: 9 + config_name: train.yaml + env_set: {} + env_copy: [] + config: + override_dirname: + kv_sep: '=' + item_sep: ',' + exclude_keys: [] + runtime: + version: 1.1.2 + cwd: /usr/src/app + config_sources: + - path: hydra.conf + schema: pkg + provider: hydra + - path: /usr/src/app/configs + schema: file + provider: main + - path: hydra_plugins.hydra_colorlog.conf + schema: pkg + provider: hydra-colorlog + - path: '' + schema: structured + provider: schema + choices: + local: default.yaml + hparams_search: focusConvReLU_MSE_150.yaml + debug: null + experiment: null + log_dir: default.yaml + trainer: long.yaml + logger: many_loggers + callbacks: default.yaml + model: focusConvReLU_150.yaml + datamodule: focus150.yaml + hydra/env: default + hydra/callbacks: null + hydra/job_logging: colorlog + hydra/hydra_logging: colorlog + hydra/hydra_help: default + hydra/help: default + hydra/sweeper: optuna + hydra/sweeper/sampler: tpe + hydra/launcher: basic + hydra/output: default + verbose: false diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/.hydra/overrides.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/.hydra/overrides.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6e23b1d9390bbadfd54059f40b6edd9367224fdc --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/.hydra/overrides.yaml @@ -0,0 +1,9 @@ +- datamodule.batch_size=64 +- model.lr=0.00020086333964059716 +- model.conv1_size=5 +- model.conv1_channels=6 +- model.conv2_size=5 +- model.conv2_channels=6 +- model.lin1_size=32 +- model.lin2_size=72 +- hparams_search=focusConvReLU_MSE_150.yaml diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/checkpoints/epoch_080.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/checkpoints/epoch_080.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..13590e12c65c8cd8a17b429df22d73653f2352b7 --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/checkpoints/epoch_080.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:241b2c3b64a3b458cd610d3b1cee9237f9a77423325fd37cb0c8886e8510f681 +size 2732943 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/checkpoints/last.ckpt b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/checkpoints/last.ckpt new file mode 100644 index 0000000000000000000000000000000000000000..e20ed7a90de7b372c2b237a48e668bc82c2bdd5f --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/checkpoints/last.ckpt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0db99ab842e62db637d65a6314f30b35fee4cedc8b851575913d4cc4c017cd60 +size 2732943 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/csv/version_0/hparams.yaml b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/csv/version_0/hparams.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7249a062334b017eac88d99d72d055726093a8ce --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/csv/version_0/hparams.yaml @@ -0,0 +1,54 @@ +trainer: + _target_: pytorch_lightning.Trainer + gpus: 1 + min_epochs: 1 + max_epochs: 100 + resume_from_checkpoint: null +model: + _target_: src.models.focus_conv_module.FocusConvReLULitModule + image_size: 150 + pool_size: 2 + conv1_size: 5 + conv1_channels: 6 + conv2_size: 5 + conv2_channels: 6 + lin1_size: 32 + lin2_size: 72 + output_size: 1 + lr: 0.00020086333964059716 + weight_decay: 0.0005 +datamodule: + _target_: src.datamodules.focus_datamodule.FocusDataModule + data_dir: /usr/src/app/data/focus150 + csv_train_file: /usr/src/app/data/focus150/train_metadata.csv + csv_val_file: /usr/src/app/data/focus150/validation_metadata.csv + csv_test_file: /usr/src/app/data/focus150/test_metadata.csv + batch_size: 64 + num_workers: 0 + pin_memory: false +seed: null +callbacks: + model_checkpoint: + _target_: pytorch_lightning.callbacks.ModelCheckpoint + monitor: val/mae + mode: min + save_top_k: 1 + save_last: true + verbose: false + dirpath: checkpoints/ + filename: epoch_{epoch:03d} + auto_insert_metric_name: false + early_stopping: + _target_: pytorch_lightning.callbacks.EarlyStopping + monitor: val/mae + mode: min + patience: 100 + min_delta: 0 + model_summary: + _target_: pytorch_lightning.callbacks.RichModelSummary + max_depth: -1 + rich_progress_bar: + _target_: pytorch_lightning.callbacks.RichProgressBar +model/params/total: 226215 +model/params/trainable: 226215 +model/params/non_trainable: 0 diff --git a/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/csv/version_0/metrics.csv b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/csv/version_0/metrics.csv new file mode 100644 index 0000000000000000000000000000000000000000..cd33371b698adfd1cda13b7edc5bd12c1f6428ff --- /dev/null +++ b/logs/experiments/multiruns/focusConvReLU_MSE_150_hyperparameter_search/2022-05-11_14-55-00/9/csv/version_0/metrics.csv @@ -0,0 +1,202 @@ +val/loss,val/mae,val/mae_best,epoch,step,train/loss,train/mae,test/loss,test/mae +0.00045483949361369014,0.017786387354135513,0.016769297420978546,0,47,,,, 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a/logs/mlflow/mlruns/12/02f7ad7240ea45e9b8a0b28be13bc225/params/datamodule/csv_test_file b/logs/mlflow/mlruns/12/02f7ad7240ea45e9b8a0b28be13bc225/params/datamodule/csv_test_file new file mode 100644 index 0000000000000000000000000000000000000000..69910129138d6d6714086863ffa853b10503abc6 --- /dev/null +++ b/logs/mlflow/mlruns/12/02f7ad7240ea45e9b8a0b28be13bc225/params/datamodule/csv_test_file @@ -0,0 +1 @@ +/usr/src/app/data/focus150/test_metadata.csv \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/02f7ad7240ea45e9b8a0b28be13bc225/params/datamodule/csv_train_file b/logs/mlflow/mlruns/12/02f7ad7240ea45e9b8a0b28be13bc225/params/datamodule/csv_train_file new file mode 100644 index 0000000000000000000000000000000000000000..6a397043cbb33603a2180ffea75f9c81916274ec --- /dev/null +++ b/logs/mlflow/mlruns/12/02f7ad7240ea45e9b8a0b28be13bc225/params/datamodule/csv_train_file @@ -0,0 +1 @@ +/usr/src/app/data/focus150/train_metadata.csv \ No newline at end of file diff --git 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a/logs/mlflow/mlruns/12/02f7ad7240ea45e9b8a0b28be13bc225/params/datamodule/num_workers b/logs/mlflow/mlruns/12/02f7ad7240ea45e9b8a0b28be13bc225/params/datamodule/num_workers new file mode 100644 index 0000000000000000000000000000000000000000..c227083464fb9af8955c90d2924774ee50abb547 --- /dev/null +++ b/logs/mlflow/mlruns/12/02f7ad7240ea45e9b8a0b28be13bc225/params/datamodule/num_workers @@ -0,0 +1 @@ +0 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/02f7ad7240ea45e9b8a0b28be13bc225/params/datamodule/pin_memory b/logs/mlflow/mlruns/12/02f7ad7240ea45e9b8a0b28be13bc225/params/datamodule/pin_memory new file mode 100644 index 0000000000000000000000000000000000000000..c1f22fbc23bb6ee67824843d6685826db10313d3 --- /dev/null +++ b/logs/mlflow/mlruns/12/02f7ad7240ea45e9b8a0b28be13bc225/params/datamodule/pin_memory @@ -0,0 +1 @@ +False \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/02f7ad7240ea45e9b8a0b28be13bc225/params/model/_target_ 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of file diff --git a/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/callbacks/model_checkpoint/save_last b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/callbacks/model_checkpoint/save_last new file mode 100644 index 0000000000000000000000000000000000000000..4791ed5559bd77f54e1520025768e2b368705876 --- /dev/null +++ b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/callbacks/model_checkpoint/save_last @@ -0,0 +1 @@ +True \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/callbacks/model_checkpoint/save_top_k b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/callbacks/model_checkpoint/save_top_k new file mode 100644 index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de --- /dev/null +++ b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/callbacks/model_checkpoint/save_top_k @@ -0,0 +1 @@ +1 \ No newline at end of file diff --git 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file diff --git a/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/_target_ b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/_target_ new file mode 100644 index 0000000000000000000000000000000000000000..c1d87c70e7c00cfb1adcb0e2891cb57d03d242e2 --- /dev/null +++ b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/_target_ @@ -0,0 +1 @@ +src.datamodules.focus_datamodule.FocusDataModule \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/batch_size b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/batch_size new file mode 100644 index 0000000000000000000000000000000000000000..4b6f9c39e5c757bf387d465c53026b336dd8b96c --- /dev/null +++ b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/batch_size @@ -0,0 +1 @@ +64 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/csv_test_file b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/csv_test_file new file mode 100644 index 0000000000000000000000000000000000000000..69910129138d6d6714086863ffa853b10503abc6 --- /dev/null +++ b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/csv_test_file @@ -0,0 +1 @@ +/usr/src/app/data/focus150/test_metadata.csv \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/csv_train_file b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/csv_train_file new file mode 100644 index 0000000000000000000000000000000000000000..6a397043cbb33603a2180ffea75f9c81916274ec --- /dev/null +++ b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/csv_train_file @@ -0,0 +1 @@ +/usr/src/app/data/focus150/train_metadata.csv \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/csv_val_file b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/csv_val_file new file mode 100644 index 0000000000000000000000000000000000000000..2a4ead115d4267a7d21708c8c9bb5c051bf4d3d4 --- /dev/null +++ b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/csv_val_file @@ -0,0 +1 @@ +/usr/src/app/data/focus150/validation_metadata.csv \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/data_dir b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/data_dir new file mode 100644 index 0000000000000000000000000000000000000000..b815b619ac8a58b21b05404aa1ebc935578e6539 --- /dev/null +++ b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/data_dir @@ -0,0 +1 @@ +/usr/src/app/data/focus150 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/num_workers b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/num_workers new file mode 100644 index 0000000000000000000000000000000000000000..c227083464fb9af8955c90d2924774ee50abb547 --- /dev/null +++ b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/num_workers @@ -0,0 +1 @@ +0 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/pin_memory b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/pin_memory new file mode 100644 index 0000000000000000000000000000000000000000..c1f22fbc23bb6ee67824843d6685826db10313d3 --- /dev/null +++ b/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/datamodule/pin_memory @@ -0,0 +1 @@ +False \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/0d92bff8abbc485e8b688d1b6072bff0/params/model/_target_ 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file diff --git a/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/_target_ b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/_target_ new file mode 100644 index 0000000000000000000000000000000000000000..c1d87c70e7c00cfb1adcb0e2891cb57d03d242e2 --- /dev/null +++ b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/_target_ @@ -0,0 +1 @@ +src.datamodules.focus_datamodule.FocusDataModule \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/batch_size b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/batch_size new file mode 100644 index 0000000000000000000000000000000000000000..4b6f9c39e5c757bf387d465c53026b336dd8b96c --- /dev/null +++ b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/batch_size @@ -0,0 +1 @@ +64 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/csv_test_file b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/csv_test_file new file mode 100644 index 0000000000000000000000000000000000000000..69910129138d6d6714086863ffa853b10503abc6 --- /dev/null +++ b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/csv_test_file @@ -0,0 +1 @@ +/usr/src/app/data/focus150/test_metadata.csv \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/csv_train_file b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/csv_train_file new file mode 100644 index 0000000000000000000000000000000000000000..6a397043cbb33603a2180ffea75f9c81916274ec --- /dev/null +++ b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/csv_train_file @@ -0,0 +1 @@ +/usr/src/app/data/focus150/train_metadata.csv \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/csv_val_file b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/csv_val_file new file mode 100644 index 0000000000000000000000000000000000000000..2a4ead115d4267a7d21708c8c9bb5c051bf4d3d4 --- /dev/null +++ b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/csv_val_file @@ -0,0 +1 @@ +/usr/src/app/data/focus150/validation_metadata.csv \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/data_dir b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/data_dir new file mode 100644 index 0000000000000000000000000000000000000000..b815b619ac8a58b21b05404aa1ebc935578e6539 --- /dev/null +++ b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/data_dir @@ -0,0 +1 @@ +/usr/src/app/data/focus150 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/num_workers b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/num_workers new file mode 100644 index 0000000000000000000000000000000000000000..c227083464fb9af8955c90d2924774ee50abb547 --- /dev/null +++ b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/num_workers @@ -0,0 +1 @@ +0 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/pin_memory b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/pin_memory new file mode 100644 index 0000000000000000000000000000000000000000..c1f22fbc23bb6ee67824843d6685826db10313d3 --- /dev/null +++ b/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/datamodule/pin_memory @@ -0,0 +1 @@ +False \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/44d90ed8ea334f0e9d7b9e17730fd1fe/params/model/_target_ 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file diff --git a/logs/mlflow/mlruns/12/92d5e1f102e0426fab9d2b69b6583e1a/params/datamodule/_target_ b/logs/mlflow/mlruns/12/92d5e1f102e0426fab9d2b69b6583e1a/params/datamodule/_target_ new file mode 100644 index 0000000000000000000000000000000000000000..c1d87c70e7c00cfb1adcb0e2891cb57d03d242e2 --- /dev/null +++ b/logs/mlflow/mlruns/12/92d5e1f102e0426fab9d2b69b6583e1a/params/datamodule/_target_ @@ -0,0 +1 @@ +src.datamodules.focus_datamodule.FocusDataModule \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/92d5e1f102e0426fab9d2b69b6583e1a/params/datamodule/batch_size b/logs/mlflow/mlruns/12/92d5e1f102e0426fab9d2b69b6583e1a/params/datamodule/batch_size new file mode 100644 index 0000000000000000000000000000000000000000..4b6f9c39e5c757bf387d465c53026b336dd8b96c --- /dev/null +++ b/logs/mlflow/mlruns/12/92d5e1f102e0426fab9d2b69b6583e1a/params/datamodule/batch_size @@ -0,0 +1 @@ +64 \ No newline at end of file diff --git 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a/logs/mlflow/mlruns/12/92d5e1f102e0426fab9d2b69b6583e1a/params/datamodule/csv_val_file b/logs/mlflow/mlruns/12/92d5e1f102e0426fab9d2b69b6583e1a/params/datamodule/csv_val_file new file mode 100644 index 0000000000000000000000000000000000000000..2a4ead115d4267a7d21708c8c9bb5c051bf4d3d4 --- /dev/null +++ b/logs/mlflow/mlruns/12/92d5e1f102e0426fab9d2b69b6583e1a/params/datamodule/csv_val_file @@ -0,0 +1 @@ +/usr/src/app/data/focus150/validation_metadata.csv \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/92d5e1f102e0426fab9d2b69b6583e1a/params/datamodule/data_dir b/logs/mlflow/mlruns/12/92d5e1f102e0426fab9d2b69b6583e1a/params/datamodule/data_dir new file mode 100644 index 0000000000000000000000000000000000000000..b815b619ac8a58b21b05404aa1ebc935578e6539 --- /dev/null +++ b/logs/mlflow/mlruns/12/92d5e1f102e0426fab9d2b69b6583e1a/params/datamodule/data_dir @@ -0,0 +1 @@ +/usr/src/app/data/focus150 \ No newline at end of file diff --git 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file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/_target_ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/_target_ new file mode 100644 index 0000000000000000000000000000000000000000..c1d87c70e7c00cfb1adcb0e2891cb57d03d242e2 --- /dev/null +++ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/_target_ @@ -0,0 +1 @@ +src.datamodules.focus_datamodule.FocusDataModule \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/batch_size b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/batch_size new file mode 100644 index 0000000000000000000000000000000000000000..4b6f9c39e5c757bf387d465c53026b336dd8b96c --- /dev/null +++ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/batch_size @@ -0,0 +1 @@ +64 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/csv_test_file b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/csv_test_file new file mode 100644 index 0000000000000000000000000000000000000000..69910129138d6d6714086863ffa853b10503abc6 --- /dev/null +++ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/csv_test_file @@ -0,0 +1 @@ +/usr/src/app/data/focus150/test_metadata.csv \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/csv_train_file b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/csv_train_file new file mode 100644 index 0000000000000000000000000000000000000000..6a397043cbb33603a2180ffea75f9c81916274ec --- /dev/null +++ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/csv_train_file @@ -0,0 +1 @@ +/usr/src/app/data/focus150/train_metadata.csv \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/csv_val_file b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/csv_val_file new file mode 100644 index 0000000000000000000000000000000000000000..2a4ead115d4267a7d21708c8c9bb5c051bf4d3d4 --- /dev/null +++ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/csv_val_file @@ -0,0 +1 @@ +/usr/src/app/data/focus150/validation_metadata.csv \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/data_dir b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/data_dir new file mode 100644 index 0000000000000000000000000000000000000000..b815b619ac8a58b21b05404aa1ebc935578e6539 --- /dev/null +++ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/data_dir @@ -0,0 +1 @@ +/usr/src/app/data/focus150 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/num_workers b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/num_workers new file mode 100644 index 0000000000000000000000000000000000000000..c227083464fb9af8955c90d2924774ee50abb547 --- /dev/null +++ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/num_workers @@ -0,0 +1 @@ +0 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/pin_memory b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/pin_memory new file mode 100644 index 0000000000000000000000000000000000000000..c1f22fbc23bb6ee67824843d6685826db10313d3 --- /dev/null +++ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/datamodule/pin_memory @@ -0,0 +1 @@ +False \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/model/_target_ 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b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/model/conv2_size @@ -0,0 +1 @@ +5 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/model/image_size b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/model/image_size new file mode 100644 index 0000000000000000000000000000000000000000..4701cc793111aafe3a1e6f48d82e5b8c8a38943e --- /dev/null +++ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/model/image_size @@ -0,0 +1 @@ +150 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/model/lin1_size b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/model/lin1_size new file mode 100644 index 0000000000000000000000000000000000000000..19c7bdba7b1e9bfe80365a50420a6d538ca503c3 --- /dev/null +++ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/model/lin1_size @@ -0,0 +1 @@ +16 \ No newline at end of file diff --git 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b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/model/pool_size @@ -0,0 +1 @@ +2 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/model/weight_decay b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/model/weight_decay new file mode 100644 index 0000000000000000000000000000000000000000..752f26d69b0a2d03af05585d38e9e9cdd94d78ea --- /dev/null +++ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/model/weight_decay @@ -0,0 +1 @@ +0.0005 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/seed b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/seed new file mode 100644 index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049 --- /dev/null +++ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/seed @@ -0,0 +1 @@ +None \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/trainer/_target_ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/trainer/_target_ new file mode 100644 index 0000000000000000000000000000000000000000..6b23728d56f799f2fedf10e2776b353c78e47498 --- /dev/null +++ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/trainer/_target_ @@ -0,0 +1 @@ +pytorch_lightning.Trainer \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/trainer/gpus b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/trainer/gpus new file mode 100644 index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de --- /dev/null +++ b/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/trainer/gpus @@ -0,0 +1 @@ +1 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/a2f5cfc23c4840c8a476e08ee218793c/params/trainer/max_epochs 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a/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/csv_test_file b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/csv_test_file new file mode 100644 index 0000000000000000000000000000000000000000..69910129138d6d6714086863ffa853b10503abc6 --- /dev/null +++ b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/csv_test_file @@ -0,0 +1 @@ +/usr/src/app/data/focus150/test_metadata.csv \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/csv_train_file b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/csv_train_file new file mode 100644 index 0000000000000000000000000000000000000000..6a397043cbb33603a2180ffea75f9c81916274ec --- /dev/null +++ b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/csv_train_file @@ -0,0 +1 @@ +/usr/src/app/data/focus150/train_metadata.csv \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/csv_val_file b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/csv_val_file new file mode 100644 index 0000000000000000000000000000000000000000..2a4ead115d4267a7d21708c8c9bb5c051bf4d3d4 --- /dev/null +++ b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/csv_val_file @@ -0,0 +1 @@ +/usr/src/app/data/focus150/validation_metadata.csv \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/data_dir b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/data_dir new file mode 100644 index 0000000000000000000000000000000000000000..b815b619ac8a58b21b05404aa1ebc935578e6539 --- /dev/null +++ b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/data_dir @@ -0,0 +1 @@ +/usr/src/app/data/focus150 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/num_workers b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/num_workers new file mode 100644 index 0000000000000000000000000000000000000000..c227083464fb9af8955c90d2924774ee50abb547 --- /dev/null +++ b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/num_workers @@ -0,0 +1 @@ +0 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/pin_memory b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/pin_memory new file mode 100644 index 0000000000000000000000000000000000000000..c1f22fbc23bb6ee67824843d6685826db10313d3 --- /dev/null +++ b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/datamodule/pin_memory @@ -0,0 +1 @@ +False \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/model/_target_ 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a/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/trainer/_target_ b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/trainer/_target_ new file mode 100644 index 0000000000000000000000000000000000000000..6b23728d56f799f2fedf10e2776b353c78e47498 --- /dev/null +++ b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/trainer/_target_ @@ -0,0 +1 @@ +pytorch_lightning.Trainer \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/trainer/gpus b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/trainer/gpus new file mode 100644 index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de --- /dev/null +++ b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/trainer/gpus @@ -0,0 +1 @@ +1 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/trainer/max_epochs b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/trainer/max_epochs new file mode 100644 index 0000000000000000000000000000000000000000..105d7d9ad3afc7bb78a0dec4d829880831605dfb --- /dev/null +++ b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/trainer/max_epochs @@ -0,0 +1 @@ +100 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/trainer/min_epochs b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/trainer/min_epochs new file mode 100644 index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de --- /dev/null +++ b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/trainer/min_epochs @@ -0,0 +1 @@ +1 \ No newline at end of file diff --git a/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/trainer/resume_from_checkpoint b/logs/mlflow/mlruns/12/d8f7fa77fe58487191c10e4b88e05baa/params/trainer/resume_from_checkpoint new file mode 100644 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